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    • A
      license
      Not graded
      quality
      B
      maintenance
      Provides access to Mexico's INEGI (national statistics office) indicators API, enabling AI agents to query statistical data through natural language or direct tool calls.
      510 npm
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    • A
      license
      A
      quality
      C
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      Enables AI agents to query Uruguay's open government data from multiple sources (national catalog, Central Bank, statistics institute, Montevideo city data and transport, and gub.uy service catalog) through a meta-discovery layer.
      5
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    • A
      license
      A
      quality
      F
      maintenance
      Enables AI agents to discover, retrieve, compare, and analyze trusted macroeconomic statistics from central banks and international organizations, resolving concepts to official series with provenance and validation.
      6
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to access official statistical and economic indicator datasets from Eurostat, World Bank, OECD, IMF, WHO, and national statistical offices across 150+ countries through natural-language dataset discovery, inspection, time-series retrieval, SQL queries, CSV export, and account/watchlist management.
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI assistants and agents to query Spanish public statistics from INE, official BOE publications, and Catastro property data via typed, read-only tools with structured, source-citable results.
      8
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    TDQS

    A3.8/5.0

    Scored across 19 tools

    Disambiguation4/5

    The ten indicator tools (ipc, canastas, salarios, emae, etc.) each target a clearly distinct dataset, and the generic tools (list_datasets, describe_dataset, query_dataset) have distinct roles. There is some overlap between count_rows and query_dataset(count=true), and between indec_aggregate and comercio_exterior's agrupar_por parameter, but descriptions clarify which to prefer.

    Naming Consistency4/5

    All names share a consistent indec_ snake_case prefix and readable form. The only deviation is that infrastructure tools use verb_noun (query_dataset, count_rows) while indicator tools are noun-only (indec_ipc, indec_pobreza), which is a minor but sensible split for proper dataset names.

    Tool Count4/5

    19 tools is on the heavier side, but INDEC covers many genuinely distinct statistical domains (prices, wages, poverty, labor, population, trade) each warranting a dedicated tool, plus a compact set of six generic data-access tools. Slightly over but well justified by domain breadth.

    Completeness4/5

    Coverage is strong: catalog discovery, schema description, generic query/count/distinct/aggregate, diagnostics, and dedicated tools for the major indicators plus a trade-code lookup. Because indec_query_dataset can reach any dataset, gaps are minor; only a handful of secondary indicator areas and metadata search are not surfaced as first-class tools.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues